MelonS-Agents: Instructions file for Claude Code

CLAUDE.md

MelonS-Agents CLAUDE.md is an instructions file for Claude Code from MelonS/MelonS-Agents. It costs 2,413 tokens per session, scanned B, original, MIT.

Project instructions for MelonS-Agents, a hierarchical multi-agent system in which several AI workers coordinate on development tasks. They define a session-start process, operating rules, and automatic Git commits and pushes.

In plain words
What is it for?
Use them when working in the MelonS-Agents repository, especially to check the goal and roadmap, follow its policies, and manage its Git workflow.
Why use it?
They keep agents focused on the actual project goal and make the required workflow explicit before work begins.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is MelonS/MelonS-Agents's own configuration. It tells Claude Code how to work on MelonS-Agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything MelonS-Agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MelonS/MelonS-Agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MelonS/MelonS-Agents/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/MelonS/MelonS-Agents

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 2,413 This file is loaded in full into every session.
When invoked 2,413 The same file — it is already loaded in full.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.02413 $0.02413
Opus 5.5 $0.00965 $0.00965
Sonnet 5.5 $0.00483 $0.00483
Haiku 4.5 $0.00241 $0.00241

Measured 2mo ago against content hash c8c694485919, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

MelonS-Agents CLAUDE.md scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

2. **Per-user**: `~/.claude/settings.json` (mirrors the same allow/deny list, applies anywhere on this machine).
CLAUDE.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project: Multi-Agent System

Hierarchical agent system. See README.md for layout, config/policies.yaml for autonomy rules, and docs/operator-contract.md for the full set of operating rules.

Session-start protocol (read this first)

Every conversation that asks for work reads two files in order:

  1. docs/goal.md — the outcome layer. This is the first read. The active goal here describes what success looks like as a concrete deliverable. An empty work queue does not mean the goal is achieved; only the goal's "Done when" criteria do. If the active goal is unmet, the agent's job this session is to advance it, not to drain the roadmap. If a deliverable subgoal is unchecked, that is the work — even when docs/roadmap.md is empty.
  2. docs/roadmap.md — the work queue. Read second. The "Now" section is the day-level priority for the current goal.

Why the split: 2026-05-15 → 2026-05-16 produced 11 commits of infrastructure with the roadmap reading 0 open items, while the actual outcome (a real CC short emerging from that infrastructure) was 0 produced. docs/roadmap.md Done all ticked, goal not met. The two layers exist so that mistake can't repeat — when goal.md says a deliverable subgoal is unchecked, "queue is empty" is never the right signal.

  • Do not use the README's "Status" checklist to pick work — it has no order, no dates, no priority signal.
  • Do not infer the next task from git log alone — the log shows what landed, not what was being worked on or what is now most important.
  • If docs/goal.md active goal is empty, ask the user before assuming a goal. Do not invent goals.
  • If docs/roadmap.md "Now" is empty but goal subgoals are unmet, the next task is whatever advances the most-blocked subgoal.
  • If both goal subgoals and roadmap queues are clean, promote "Next" → "Now"; if both are empty, surface that state to the user rather than making up work.
  • After work lands, append a one-line entry to docs/roadmap.md "Done" with the commit hash and date; tick any goal subgoals the work cleared.
  • If docs/audit/CURRENT-ALERT.md exists, read it before picking up the goal — it means the last audit run flagged drift or a critical issue, which may bump priority above the goal queue.
  • If docs/autonomous-decisions.md has entries dated today or yesterday that the operator hasn't seen yet (session-resume pattern), scan them — they capture decisions the agent made unilaterally during overnight autonomous runs and inform what state the repo is in. scripts/morning-brief.sh collapses this + audit + intervention trend + commit attribution into a single read.
  • Subagents (orchestrator, planner, resourcer, editor, qa, auditor) do not read docs/goal.md or docs/roadmap.md. Day-level decisions belong to the top-level conversation; subagents stay pure functions of the mission prompt (or, for auditor, the focus arg) they receive.

Read the full file on GitHub · 109 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 109 lines · 2,413 tokens per session scan B c8c694485919

Subscribe to this mod's changes

MelonS-Agents CLAUDE.md is an instructions file published in the GitHub repository MelonS/MelonS-Agents (17 stars, last pushed 2mo ago), licensed MIT. It adds 2,413 tokens to every session, about $0.0097 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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